Blog

Miriam Esteve, Jesús Javier Rodríguez, José Juan López and Juan Aparicio (Universidad Miguel Hernández de Elche) 
Abstract: In the literature of Economics, Engineering and Operations Research, the estimation of production frontiers is a current hot topic. Many parametric and nonparametric methodologies have been introduced for estimating technical efficiency of a set of units (for example, […]

Dorys Yaneth Rodríguez-Castro,  Jon Mikel Zabala Iturriagagoitia (Universidad de Deusto) and Juan Aparicio (Universidad Miguel Hernández de Elche) 
Abstract: The goal of this paper is to characterize the institutional diversity of the private side of a higher education system. The classification techniques used in the literature have a propensity to compare private higher education institutions […]

José María Amigó, Guillermo Durán, Ángel Giménez, José Valero and Óscar Martínez (Universidad Miguel Hernández de Elche)
Abstract: Formal specification is an essential phase for the design of any network algorithm, including Active Queue Management (AQM) schemes. In this poster, we focus on modeling with Petri Nets (PN) a new scheme of AQM. Our AQM is based […]

Yoshito  Hirata, Shunsuke Horai, Kazuhiko Ogimoto, Kazuyuki Aihara (Institute of Industrial Science, The University of Tokyo) and José María Amigó (Universidad Miguel Hernández de Elche)
Abstract: To the best of our knowledge, the method of prediction coordinates is the only forecasting method in nonlinear time series analysis that explicitly uses the stochastic characteristics of a system with […]

José María Amigó, Ángel Giménez. Óscar Martínez and José Valero (Universidad Miguel Hernández de Elche)
Abstract: Since its inception, control of data congestion on the Internet has been based on stochastic models. One of the first such models was Random Early Detection. Later, this model was reformulated as a dynamical system, with the average queue sizes […]

Adrián Hernández and José María Amigó (Universidad Miguel Hernández de Elche)
Abstract: Neuroscience and machine learning are two interrelated fields with obvious synergies. In recent years we have seen profound advances in these fields and in the integration between them. However, there remain challenges for a greater integration between the two disciplines. In this chapter we […]

Marcelo Galarza, Pedro de la Rosa, Antonio López Guerrero (Hospital Virgen de la Arrixaca, Murcia), Volkan Etüş (Kocaeli Üniversitesi, Kocaeli, Turkey), Fidel P. Sosa (Hospital Aleman, Buenos Aires, Argentina), Romina Argañaraz, Beatriz Elida  Mantese (Department of Neurosurgery, Hospital Nacional de Pediatría J. Garrahan, Buenos Aires, Argentina), Roberto Gazzeri (Department of Neurosurgery, San Giovanni Addolorata Hospital, Rome, Italy), Crhistian Garcia […]

Javier Alcaraz,  Laura Antón,  Juan Aparicio, Juan Francisco Monge, and Nuria Ramón(Universidad Miguel Hernández de Elche)
Abstract: The measurement of technical efficiency is a topic of great interest. Since the beginning, many researchers have developed new approaches to gauge technical efficiency, mainly in the non-parametric area of Data Envelopment Analysis (DEA). However, the first measures in […]